Gemini 2.5 ProvsMuse Glimmer
Gemini 2.5 Pro | Muse Glimmer | |
|---|---|---|
| Specifications | ||
Parameters | — | 30B |
| Benchmarks | ||
Nonsense detection BullshitBench v2Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 20% | — |
Agentic coding SWE-Bench ProCan the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. | — | 51.2% |
Coding SWE-Bench VerifiedReal coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 59.6% | 76%Best |
Agentic terminal coding Terminal-Bench 2.1Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | — | 51.7% |
Multi-step tool use MCP AtlasCan the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better. | — | 75.5% |
Multidisciplinary reasoning Humanity's Last Exam · no toolsHumanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better. | — | 22% |
Science GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 86.4%Best | 83.5% |
Agentic computer use OSWorld-VerifiedCan the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. | — | 65.9% |
Knowledge work GDPval-AA v2economically valuable knowledge work (v2, re-based Elo) | — | 953 |
Chart reasoning CharXiv ReasoningCan the AI read and reason about complex charts and figures, not just text? Higher is better. | — | 78.8% |
Multimodal reasoning MMMU-ProA tougher version of MMMU — college-level questions that mix images, diagrams, and text together. Higher is better. | — | 74% |
Multimodal MMMUTests the AI on understanding images and text together across many college subjects. Higher is better. | 68% | — |
Community preference (code) Arena Elo (Code)Like the text arena, but people vote on which AI writes better code. The votes become a chess-style Elo rating on arena.ai. Higher is better. | 1224 | — |
| Overview | ||
| Company | Meta | |
| Release date | Mar 25 2025 | Aug 10 2026 |
| Access | Proprietary | Open Weight |
Which is better: Gemini 2.5 Pro or Muse Glimmer?
Gemini 2.5 Pro and Muse Glimmer are evenly matched across the 2 benchmarks they both report (SWE-Bench Verified, GPQA Diamond). Gemini 2.5 Pro shipped 503 days before Muse Glimmer, so benchmark comparisons should account for the intervening progress.
Gemini 2.5 Pro is proprietary, while Muse Glimmer is open weight.
On SWE-Bench Verified, Muse Glimmer leads at 76% vs Gemini 2.5 Pro at 59.6%. On GPQA Diamond, Gemini 2.5 Pro leads at 86.4% vs Muse Glimmer at 83.5%.
Frequently asked questions
Gemini 2.5 Pro was released by Google on Mar 25 2025.
Muse Glimmer was released by Meta on Aug 10 2026.
Muse Glimmer leads on SWE-Bench Verified — Gemini 2.5 Pro 59.6% vs Muse Glimmer 76%.
Gemini 2.5 Pro leads on GPQA Diamond — Gemini 2.5 Pro 86.4% vs Muse Glimmer 83.5%.
Gemini 2.5 Pro is a proprietary model released by Google. Muse Glimmer is an open weight model released by Meta.